Plans for the industrial development of the Chuvash ASSR during the seven years of 1959–1965

All scholars know that preparing a manuscript of new research work for scholarly publication is a lot of work. Shepherding a submitted manuscript to its eventual publication among meritorious peers in JMD is also a lot of work. This shepherding, formally referred to as the publication process, happens only because of the untiring volunteer efforts of the JMD Editorial Board. The Board consists of the (Technical) Editor and Associate Editors. The Editor serves for five years, and the Associate Editors for three years with the possibility for one time renewal. All appointments must be approved by the ASME Design Engineering Executive Committee and the ASME Publications Committee.The JMD publication process follows closely the society guidelines of ASME, summarized here.1A manuscript or other work is submitted to the journal.2The Editor reads the work and determines if it is appropriate and worthy of review.3The Editor assigns the work to an Associate Editor, who oversees the review process.4The Associate Editor assigns the work to qualified reviewers.5The work is reviewed in accordance with ASME standards and requirements.6Based on the reviews, the Associate Editor makes a recommendation to the Editor, who makes the final determination of acceptance or rejection.7Accepted works are processed for publication; rejected works are returned to the authors.The primary responsibility of the Editor is to oversee the technical content and operation of the journal. In overseeing the technical content, the Editor is responsible fordetermining acceptance or rejection of all materials considered for publication;managing the Associate Editors and overseeing their roles and responsibilities in coordinating the review process;maintaining commitment to standards of high quality;enrolling and maintaining qualified reviewers to consistently contribute and support the journal by judging the technical merit of potential material;maintaining the health of the journal and inspire new growth;maintaining technical currency in the overall journal subject matter.In overseeing the operation of the journal, the Editor is responsible forencouraging and supporting the Associate Editors;nominating potential Associate Editors to the Publications Committee for approval;cooperating with the ASME Technical Publishing Department staff to ensure timely publication of journal issues and implementation of state-of-the-art technologies in the production process;staying current with publishing technologies to assist and support authors, Associate Editors, and reviewers;overseeing the management of the editorial office and related journal administrative functions;participating in meetings and activities of the Board of Editors.The primary responsibility of the Associate Editor is to oversee the peer review process of the technical works assigned. Associate Editors are responsible forenrolling and maintaining qualified reviewers to consistently contribute and support the journal by judging the technical merit of potential material;ensuring the review is completed in a timely manner and in accordance with Society policy and standards;recommending acceptance or rejection of all materials considered for publication to the journal Editor;maintaining active communication with authors and reviewers during the peer review process;ensuring authors address review comments and prepare and complete their work in accordance with Society guidelines and standards;maintaining commitment to standards of high quality;assisting and supporting the Editor in maintaining the health of the journal and inspiring new growth;maintaining technical currency in the overall journal subject matter and in a personal specialty area;staying current with publishing technologies to assist and support authors;cooperating with the ASME Technical Publishing Department staff to ensure timely publication of journal issues and implementation of state-of-the-art technologies in the production process.As a design educator, I am fond of checklists. It is the simplest way to get you to think in a focused way without limiting you. The checklists above provide daily guidance to all of us on the JMD Editorial Board, as we strive to serve our community. The list below provides names and short biographies of the current members of the JMD Editorial Board, and two associate editors who just completed their second term of service: Shapour Azarm and Larry Howell. You can follow editorial board composition changes in www.asmejmd.org.On behalf of our community, I would like to thank all of our associate editors, past, present, and future, for their selfless, competent service.Panos Y. Papalambros, Ph.D., P.E., is the Donald C. Graham Professor of Engineering and Professor of Mechanical Engineering at the University of Michigan, Ann Arbor. He also holds faculty appointments in the College of Architecture and Urban Planning, and the School of Art and Design. He holds a diploma in mechanical and electrical engineering from the National Technical University of Athens, and M.S. and Ph.D. degrees in mechanical engineering from Stanford University. He has co-authored the textbook Principles of Optimal Design: Modeling and Computation (1988, 2000). He is a Fellow of ASME and SAE, and recipient of the JSME Systems and Design Achievement Award, ASME Design Automation, ASME Machine Design, and ASME Spira Outstanding Design Educator Awards. Areas of interest: design optimization, design scienceJanet K. Allen, Ph.D., is Professor of Mechanical Engineering in the George W. Woodruff School of Mechanical Engineering at Georgia Tech Savannah. She received her S.B. degree from the Massachusetts Institute of Technology and her Ph.D. from the University of California, Berkeley. She is a Fellow of the American Society of Mechanical Engineers, a Senior Member of the American Institute of Aeronautics and Astronautics and an Honorary Member of Pi Tau Sigma, the mechanical engineering honor society. Areas of interest: systems design, robust design, intellectual foundations of design Email: janet.allen@me.gatech.eduDiann Brei, Ph.D., is an Associate Professor in the Mechanical Engineering Department at the University of Michigan, Ann Arbor. She received her BSE degree in Computer Systems Engineering and her Ph.D. degree in Mechanical Engineering from Arizona State University. She co-directs the General Motors/University of Michigan Smart Materials and Structures Collaborative Research Laboratory. She is currently the Technical Chair of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. She serves on the ASME Adaptive Structures and Material Systems Technical Committee and has been the chair of the AIAA Adaptive Structures Technical Committee. She has over 90 publications in the area of Smart Material Device Innovation with several best paper awards and is a holder of 3 US patents. She is an AIAA Associate Fellow and recipient of the Hartwell Award, UM Ruth and Joel Spira Outstanding Teaching Award, and National Multiple Scierosis Society Da Vinci Award. Areas of Interest: device innovation, smart materials and structures, actuationJonathan Cagan, Ph.D., P.E., is the George Tallman and Florence Barrett Ladd Professor in Engineering, in the Department of Mechanical Engineering at Carnegie Mellon University, with appointments in the School of Design and Computer Science. At Carnegie Mellon, Cagan co-directs the Master in Product Development program and co-directs the Center for Product Strategy and Innovation. He is the co-author of Creating Breakthrough Products (with Craig Vogel) and The Design of Things to Come (with Craig Vogel and Peter Boatwright), and the co-editor of Formal Engineering Design Synthesis (with Erik Antonsson). He is the recipient of the engineering college's Outstanding Research Award. Cagan is a Fellow of the American Society of Mechanical Engineers and serves on the Advisory Board for The Design Society. Dr. Cagan received his Bachelor of Science in 1983 and Master of Science in 1985 from the University of Rochester, and his Ph.D. in 1990 from the University of California at Berkeley. All of his degrees are in Mechanical Engineering. Areas of interest: product development, computational innovation, cognitive-based engineeringThomas R. Chase is a Professor and Morse-Alumni Distinguished Teaching Professor of Mechanical Engineering at the University of Minnesota. Dr. Chase received his Ph.D. from the University of Minnesota in 1984. He chaired the Design Engineering Division in 2002–2003, the Mechanisms Committee in 1993–1994, and the Design Engineering Technical Conferences in 1994. Areas of interest: mechanism synthesis, machine element design, hydraulics, the design of apparatus for high energy physics experiments, database design for computer aided engineeringMary Frecker is a Professor of Mechanical Engineering at the Pennsylvania State University. She has a B.S. from the University of Dayton, and an M.S. and Ph.D. in Mechanical Engineering from the University of Michigan. When she joined Penn State in 1997, she was awarded the Pearce Endowed Development Professorship in Mechanical Engineering. Dr. Frecker has also been awarded the GM/Freudenstein Young Investigator Award by the ASME Mechanisms Committee (2002), the Outstanding Advising Award by the Penn State Engineering Society (2002), and the Outstanding Research Award by the Penn State Engineering Society (2005). She is a Fellow of the ASME. Dr. Frecker is an Associate Editor of the ASME Journal of Mechanical Design, and serves as Chair of the ASME Adaptive Structures Technical Committee. She is also a member of the ASME Mechanisms Committee. Areas of interest: compliant mechanism design, medical device design, smart structuresJohn K. Gershenson, Ph.D., is a Professor of Mechanical Engineering at Michigan Technological University and the director of the Product and Process Architecture Alignment Center and heads the center's Life-cycle Engineering Laboratory. He also is the department's Manufacturing/Industrial Area Director. Dr. Gershenson is a graduate of Cornell University and The Ohio State University and holds a doctorate in Mechanical Engineering from the University of Idaho. Areas of interest: product family design, product platforms, modular product design, assembly systems platforming, lean engineering, life-cycle design, lean manufacturing, and systems design for the environmentAshitava Ghosal is a Professor of Mechanical Engineering and the Centre for Product Design and Manufacture at the Indian Institute of Science, Bangalore. He obtained B.Tech, M.S., and Ph.D. degrees in mechanical engineering from the Indian Institute of Technology at Kanpur, University of Florida at Gainesville, and Stanford University, respectively. Prior to joining Indian Institute of Science, Bangalore he had research appointments at Carnegie Mellon University and at Integrated Systems, Inc., Santa Clara. He is interested in various aspects of robotics and multi-body mechanical systems, design of mechanical systems, and product design, and has published over 70 papers in international journals, conference proceedings, and workshops. He has authored the textbook Robotics: Fundamental Concepts and Analysis (Oxford University Press, 2006). More details on his research and other activities are available at http://www.mecheng.iisc.ernet.in/~asitava Areas of interest: robotics and product design Email: ashitava@asmejmd.orgJeffrey W. Herrmann is an associate professor at the University of Maryland, where he holds a joint appointment with the Department of Mechanical Engineering and the Institute for Systems Research. He is the director of the Computer Integrated Manufacturing Laboratory and Associate Director for the University of Maryland Quality Enhancement Systems and Teams (QUEST) Honors Fellows Program. He is a member of INFORMS, ASME, IIE, SME, and ASEE. He was the chair of the ASME Design for Manufacturing Technical Committee. Dr. Herrmann earned his B.S. in applied mathematics from Georgia Institute of Technology. As a National Science Foundation Graduate Research Fellow from 1990–1993, he received his Ph.D. in industrial and systems engineering from the University of Florida. Areas of interest: engineering design decision-making, design optimization, design for manufacturing, operations researchYan Jin is a Professor of Aerospace & Mechanical Engineering at University of Southern California and Director of USC IMPACT Laboratory. He received his Ph.D. degree in Naval Architecture and Ocean Engineering from the University of Tokyo. Prior to joining the USC faculty in 1996, he worked as a Post-doctoral Research Fellow at the University of Tokyo and as a Senior Research Scientist at Stanford University. He is the recipient of a National Science Foundation CAREER Award (1998), TRW Excellence in Teaching Award (2001), Best Paper in Human Information Systems (5th World Multi-Conference on Systemics, Cybernetics and Informatics, 2001), and Xerox Best Paper Award (ASME International Conference on Design Theory and Methodology, 2002). He is currently an Editorial Board member of International Journal of AI in Engineering Design, Analysis, and Manufacturing (AIEDAM) and International Journal of Advanced Engineering Informatics. He also served as Conference Chair and Program Chair of the ASME Design Theory and Methodology (DTM) Conferences, and Vice Chair of the DTM Committee. Areas of interest: design cognition, conceptual design method and technology, self-organizing and complex systems, and engineering collaborationPierre M. Larochelle, Ph.D., P.E., is the Assistant Dean for Academics & Accreditation and Professor of Mechanical Engineering at the Florida Institute of Technology. At Florida Tech he is the founder and director of the Robotics and Spatial Systems Laboratory (RASSL). He received his Bachelors of Science in Mechanical Engineering from the University of California at San Diego (1989), and his Masters of Science (1991) and Ph.D. (1994) degrees in Mechanical Engineering from the University of California at Irvine. He has over 100 publications, is the holder of one US patent, and has served as a consultant to a number of companies in the areas of robotics, automation, machine design, and computer-aided design. He is a Fellow of ASME and a recipient of the MDI Mechanical Simulation Software Award. Areas of interest: kinematics, robotics, mechanisms, machines, and design of robotic mechanical systemsZissimos P. Mourelatos, Ph.D., is a Professor of Mechanical Engineering at Oakland University in Rochester, MI. Before joining Oakland University, he spent 18 years at the General Motors Research and Development (GM R&D) Center. He holds a diploma in Marine Engineering and Mechanical Engineering from the National Technical University of Athens, Greece, two M.S. degrees (Naval Architecture and Marine Engineering, and Mechanical Engineering) from The University of Michigan, and a Ph.D. degree (Naval Architecture and Marine Engineering) from The University of Michigan. He is active in the dynamics and vibrations as well as design automation communities. Dr. Mourelatos has published over 110 journal and conference publications in the areas of design under uncertainty and structural dynamics. He is the Editor-in-Chief of the International Journal of Reliability and Safety, an Associate Editor of the ASME Journal of Mechanical Design, and a SAE Fellow. Areas of interest: design under uncertainty, probabilistic and non-probabilistic uncertainty theories, structural dynamicsKarthik Ramani is a Professor in the School of Mechanical Engineering and of Electrical and Computer Engineering (by Courtesy) at Purdue University. He earned his B.Tech from the Indian Institute of Technology, Madras, in 1985, an M.S. from The Ohio State University, in 1987, and a Ph.D. from Stanford University in 1991, all in Mechanical Engineering. He has been recognized by Purdue University through a University Faculty Scholars Award (2002), Discovery in Mechanical Engineering Award (2005), Research Excellence Award throughout the College of Engineering at Purdue University in 2007. He serves in the editorial board of Elsevier Journal of Computer-Aided Design. He is also serving on the Engineering Advisory Board for the National Science Foundation (Industrial Innovation and Partnerships) for 2007–2010. He also serves as the technology-business advisor at Imaginestics, that launched the world's first commercial on-line shape-based search engine for the manufacturing supply chain. https://engineering.purdue.edu/~ramani/ Areas of interest: digital and computational geometry, shape design and analysis, shape and ontology search, computational tools for early design innovationJosé M. Rico, Ph.D., is an Associate Professor in the Department of Mechanical Engineering at the Institute of Technology at Celaya. He received a B.S. degree from the Calaya Institute of Technology in 1975 and a Masters from the Monterrey Institute of Technology and Higher Education in 1977, both in Mechanical Engineering. Since his retirement in 2005, he is affiliated with the Department of Mechanical Engineering at Guanajuato, Campus Irapuato-Salamanca. He has been a visiting scholar at the University of Florida, Arizona State University, University of California-Davis, and the French Institute of Advanced Mechanics under the sponsorship of Professor Joseph Duffy, Professor Joseph K. Davidson, Professor Bahram Ravani, and Professor Grigore Gogu, respectively. He has been author or co-author of 40 papers in archival journals and 60 papers in conferences and has been an ASME member since 1975. Areas of interest: theoretical and computational kinematics and applied mathematicsJames P. Schmiedeler, Ph.D., is an Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He received a B.S. degree from the University of Notre Dame and M.S. and Ph.D. degrees from The Ohio State University, all in mechanical engineering. He was previously an Assistant Professor at the University of Iowa (2002–2003) and at The Ohio State University (2003–2008). In 2002, he was a summer faculty research fellow at NASA's Jet Propulsion Laboratory in Pasadena, CA, and in 2007, he was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in modeling human motor coordination and robot-assisted rehabilitation. Areas of interest: machine design, robotics, biomechanicsTimothy W. Simpson, Ph.D., is a Professor of Mechanical and Industrial Engineering at the Pennsylvania State University in University Park, PA. He also holds faculty appointments in the School of Engineering Design, Technology, and Professional Programs and the College of Information Sciences and Technology. He received a B.S. degree in mechanical engineering from Cornell University and M.S. and Ph.D. degrees in mechanical engineering from the Georgia Institute of Technology. He is the lead editor on the book Product Family and Product Platform Design: Methods and Applications (2005). He is an Associate Fellow of AIAA and is active in ASME and ASEE. He is the recipient of a NSF Career Award, SAE Ralph R. Teetor Educational Award, AIAA Multidisciplinary Design Optimization Technical Committee Outstanding Service Award, and the Pennsylvania State University President's Award for Excellence in Academic Integration. Areas of interest: product family design, product platforms, metamodeling, visualizationAvinash Singh, Ph.D., is a Senior Staff Engineer in the Advanced Power Transfer Group of GM Powertrain, General Motors Corporation. He received his B.Tech. degree from the Institute of Technology, BHU, India in 1990, and his M.S. and Ph.D. degrees in Mechanical Engineering from the Ohio State University in 1992 and 1997. Dr. Singh works on power transmission component technology and his research interests are in the areas of gear system design and analysis, gear system dynamics and noise, development and validation of high fidelity models, power losses, rotating system diagnostics, and fatigue life prediction. He currently serves as the Vice Chair of the ASME Power Transmission and Gearing committee of the DED. Areas of interest: transmission component design and analysis, model development and validationAlexander H. Slocum is the Pappalardo Professor of Mechanical Engineering at MIT. Alex has written two books on machine design, Precision Machine Design and FUNdaMENTALs of Design (free download on http://pergatory.mit.edu), published more than 150 papers, and has over seven dozen patents issued or pending. Alex regularly works with companies on the development of new products and has been significantly involved with the invention and development of 11 products that have been awarded R&D 100 awards. Alex is a Fellow of the ASME and the recipient of the Society of Manufacturing Engineer's Frederick W. Taylor Research Medal, ASME Leonardo daVinci Award, and the ASME Machine Design Award. Areas of interest: machine elements, precision machine design, MEMsJanis Terpenny, Ph.D., is an Associate Professor of Engineering Education and Mechanical Engineering and an affiliate faculty of Industrial and Systems Engineering at Virginia Tech. She is the Director of the Center for e-Design, a five-university NSF industry/university cooperative research center. She is an Advance Professor and Diggs Teaching Scholar at Virginia Tech and a Dean's Faculty Fellow in the College of Engineering. Formerly, she was an assistant professor at the University of Massachusetts Amherst and has prior industrial work experience with General Electric (GE) Corporation, including the completion of a two-year corporate management program. She received her B.S. degree in Applied Mathematics from Virginia Commonwealth University (1979). She earned her M.S. degree in Industrial Engineering and Operations Research (1981) and Ph.D. degree in Industrial and Systems Engineering (1996) from Virginia Tech. She is a member of ASME, ASEE, and senior member of IIE. Areas of interest: design process and methods, knowledge engineering, product families and platforms, product obsolescence, student learning and engagement related to design educationKwun-Lon Ting is a Professor of Center for Manufacturing Research and Mechanical Engineering Department at Tennessee Tech University. He has a B.S. degree from National Taiwan University, an M.S. degree from Clemson University, and a Ph.D. degree from Oklahoma State University. During his tenure at Tennessee Tech, he received eight research grant awards from National Science Foundation, Caplenor Faculty Research Award from the university, and Kinslow Engineering Research Award twice from the engineering college. He was the recipient of the South-Pointing Chariot Award and Bernard Roth Award from Applied Mechanisms and Robotics Conference. He is a Fellow of ASME. Areas of interest: kinematics, mechanisms, robotics, linkage mobility, geometric designPhilippe Velex graduated from INSA Lyon (France) in 1984 with Meng. in Mechanical Engineering. He obtained his Ph.D. from the same establishment in 1988. He was appointed Full Professor of Mechanical Engineering in 1998. He is head of the “Mechanical Systems and Contact” research group of LaMCoS (INSA Lyon) and director of the CETIM-INSA joint laboratory on Mechanical Transmissions. His research topics comprise the analysis of interactions between lubricated contacts and the static and dynamic behavior of mechanical systems. He is also the director of the International English-Speaking Undergraduate Section at INSA Lyon. Areas of interest: gear dynamics, power losses, loads and stresses, lubrication in gearsHong-Sen Yan is an NCKU Chair Professor at the National Cheng Kung University (Tainan, Taiwan) in the Department of Mechanical Engineering. He also serves as the Director of the NCKU Museum. He holds a B.S. degree from the National Cheng Kung University, M.S. degree from the University of Kentucky, and Ph.D. degree from Purdue University, all in mechanical engineering. He is the author of two Springer books, Creative Design of Mechanical Devices (1998) and Reconstruction Designs of Lost Ancient Chinese Machinery (2007). He is a Fellow of ASME, and recipient of ASME Best Paper Award (Mechanism Conference) and National Chair Award (Ministry of Education, Taiwan, ROC). And, he collects ancient Chinese padlocks as a Areas of interest: kinematics, conceptual design of and machines, design of ancient Ph.D., P.E., is a Professor of Mechanical Engineering at the University of Maryland College He holds a faculty appointment with the Applied Mathematics and Computation Program at He has M.S., and Ph.D. all in mechanical engineering, from the University of George University, and the University of Michigan, respectively. He is the chair of the ASME Design Design and Design Engineering He is the recipient of the Design Award. He is a Fellow of ASME. Areas of interest: optimization, optimization, analysis, Ph.D., P.E., is a Professor and chair of the Department of Mechanical Engineering at Young University where he holds a University Professor received his B.S. degree from Young University and his M.S. and Ph.D. degrees from Purdue University. Prior to joining in he was a visiting professor at Purdue University, a element analysis consultant for Engineering Inc., and an on the design of the for the He is a Fellow of ASME and chair of the ASME Mechanisms & Robotics Committee. Professor patents and technical publications on compliant and systems. He is the author of the book Mechanisms published by Areas of interest: compliant mechanisms, systems design

The aim of this paper is to estimate the probability of bankruptcy of the companies from the Slovak electrical engineering industry based on data obtained from financial statements. Parameters of the predictive model were estimated using binary logistic regression. This model is able to predict the probability of a company’s bankruptcy based on values of significant explanatory variables (accounts payable turnover ratio (APTR), return on sales (ROS), quick ratio (QR), financial leverage (FL), net working capital/assets (NWC/A)). The model is constructed using the financial data of a large sample of electrical engineering companies from 2017. Resulting estimated odds ratios show that, in the electrical engineering industry, ROS, QR, and NWC/A significantly reduce the likelihood of bankruptcy. In other words, if these financial indicators increase, the probability of bankruptcy decreases. Our results are also applicable to other industries connected with industrial production, especially the mechanical engineering industry.

Contributors

About the Authors

Contributors

Retiring Associate Editors

Roberto Baldacci (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) is a researcher in operations research at the Department of Electronics, Computer Science, and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the areas of transportation planning, logistics and distribution, and the solution of vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming including the design of new heuristic and exact methods for solving routing and location problems. Enrico Bartolini (“ An Exact Algorithm for the Pickup and Delivery Problem with Time Windows ”) holds a postdoctoral position at the University of Bologna. His research activity concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems, in particular network design problems and some generalizations of the vehicle routing problem. Saif Benjaafar (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is professor of industrial and systems engineering at the University of Minnesota, where he is also founding and current director of the Industrial & Systems Engineering Program, director of the Center for Supply Chain Research, and a faculty scholar with the Center for Transportation Studies. He was a Distinguished Senior Visiting Scientist at Honeywell Laboratories and a visiting professor at universities in France, Belgium, Hong Kong, China, and Singapore. His research is in the areas of supply chain management, service and manufacturing operations, and production and inventory systems, with a current focus on sustainability and environmental modeling. He serves on the editorial board of several journals including Manufacturing & Service Operations Management, Production and Operations Management, Naval Research Logistics, and IIE Transactions. He is a Fellow of the Institute of Industrial Engineers (IIE). Dimitris Bertsimas (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is the Boeing Professor of Operations Research and codirector of the Operations Research Center at the Massachusetts Institute of Technology. This research is part of his work in the last decade on robust optimization for optimization and performance analysis of stochastic systems. Atul Bhandari (“ Revenue Management with Bargaining ”) is manager of the Algorithms Team at SmartOps. He supervises the design and development of enterprise inventory optimization algorithms, supervises modeling and analysis support for sales and implementation efforts, and leads educational sessions. He earned a Ph.D. in operations research from the Carnegie Mellon University Tepper School of Business. Sushil Bikhchandani (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is professor of decisions, operations, and technology management at the Anderson School of Management at the University of California, Los Angeles. He is interested in the economics of incentives and its application to auctions, market institutions, and social learning. J. Paul Brooks (“ Support Vector Machines with the Ramp Loss and the Hard Margin Loss ”) is an assistant professor of operations research in the Department of Statistical Sciences and Operations Research and a fellow of the Center for Study of Biological Complexity, Virginia Commonwealth University. He is currently secretary/treasurer of the INFORMS Section on Data Mining. His research interests include the design of optimization-based algorithms for data mining and their application to biomedical data. He is also interested in applications of optimization to models of cellular metabolism and network design problems. Sungyong Choi (“ A Multiproduct Risk-Averse Newsvendor with Law-Invariant Coherent Measures of Risk ”) is an instructor in the Department of Management Science and Information Systems at Rutgers University. Dr. Choi's research interests are in the area of stochastic modeling and its application in supply chain management. Milind Dawande (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ” and “ Quantifying the Impact of Layout on Productivity: An Analysis from Robotic-Cell Manufacturing ”) is professor and area coordinator of operations management at the School of Management, University of Texas at Dallas. His research interests are in discrete optimization problems in manufacturing and operations. His papers have appeared in a number of research outlets, including Operations Research, Management Science, Manufacturing & Service Operations Management, and the INFORMS Journal on Computing. Mehmet Demirci (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is a supply chain sales engineer at SmartOps. He holds a Ph.D. degree in industrial engineering from the University of Pittsburgh. His research interests include inventory optimization, operations management, large-scale combinatorial optimization, and operations research applications in health care. Sven de Vries (“ An Ascending Vickrey Auction for Selling Bases of a Matroid ”) is a professor of operations research in the Department of Mathematics at the Universität Trier. His research interests include combinatorial optimization and auctions. Xiaowei Ding (“ A Top-Down Approach to Multiname Credit ”) is an associate at Morgan Stanley's Commodity Trading Group. Mohsen ElHafsi (“ Optimal Control of an Assembly System with Multiple Stages and Multiple Demand Classes ”) is a professor at the Anderson Graduate School of Management at the University of California, Riverside, where he also serves as associate dean and graduate advisor. He holds Ph.D. and M.Sc. degrees from the Industrial and Systems Engineering Department at the University of Florida and was the Honor Graduate. He received the Qualified Engineer degree, with honors, from the Ecole Nationale d'Ingénieurs de Tunis, Tunisia. His area of research includes operations and supply chain management, manufacturing and service operations, and production and inventory systems. Amr Farahat (“ A Comparison of Bertrand and Cournot Profits in Oligopolies with Differentiated Products ”) is an assistant professor at the Johnson Graduate School of Management at Cornell University. He obtained his doctoral degree in operations research from the Massachusetts Institute of Technology. His current research focuses on differentiated product pricing, inventory management, and competition. He is interested in problems at the interface of operations management, economics, and marketing. Vivek F. Farias (“ The Irrevocable Multiarmed Bandit Problem ”) is the Robert N. Noyce Career Development Assistant Professor of Management at the Sloan School of Management and the Operations Research Center at the Massachusetts Institute of Technology. His research focuses on revenue management, dynamic optimization, and the analysis of complex stochastic systems. The paper in this issue is part of the author's research in the context of dynamic optimization. David Gamarnik (“ Performance Analysis of Queueing Networks via Robust Optimization ”) is an associate professor of operations research at the Sloan School of Management of the Massachusetts Institute of Technology. His research interests include applied probability and stochastic processes, theory of random combinatorial structures and algorithms, and various applications. He currently serves as an associate editor of Annals of Applied Probability, Operations Research, Mathematics of Operations Research, and queueing systems journals. Srinagesh Gavirneni (“ Production Planning with Patterns: A Problem from Processed Food Manufacturing ”) is an assistant professor of operations management in the Johnson Graduate School of Management at Cornell University. His research interests are in the areas of supply chain management, inventory control, production scheduling, simulation, and optimization. His papers have appeared in Management Science, Manufacturing & Service Operations Management, Operations Research, European Journal of Operational Research, Operations Research Letters, IIE Transactions, and Interfaces. Previously he was an assistant professor in the Kelley School of Business at Indiana University, the chief algorithm design engineer of SmartOps, a software architect at Maxager Technology Inc., and a research scientist with Schlumberger. His undergraduate degree from IIT-Madras is in mechanical engineering, and he received an M.Sc. from Iowa State University and a Ph.D. from Carnegie Mellon University. Kay Giesecke (“ A Top-Down Approach to Multiname Credit ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in financial engineering. Lisa R. Goldberg (“ A Top-Down Approach to Multiname Credit ”) is executive director of analytic initiatives at MSCI Barra with responsibility for developing and prototyping financial risk and valuation models. Randolph W. Hall (“ Discounted Robust Stochastic Games and an Application to Queueing Control ”) is vice president of research, and professor of industrial and systems engineering, at the University of Southern California. After receiving a Ph.D. in civil engineering from the University of California, Berkeley, he has held research and faculty positions at General Motors, the University of California, Berkeley, and the University of Southern California, including dir

About the Authors

Currently, it is rapidly developing in the heat and nuclear power plants, chemical production, radio engineering and electrical engineering industries , mechanical engineering, IES, AES, food and pharmaceutical industries. Therefore, the demand for cationites is growing homon. In obtaining cationites that selectively affect the world, produce a tescor and an express complex, research work has been carried out aimed at immobilizing cationites containing nitrogen and sulfur into organic polymer and mineral matrices. In this work, effective cationite synthesis to purify effluents from harmful and heavy metals and quantum-chemical computational applications of reactivity of a Thiocarbamide, formalin, and vino acid-based cationite molecule via Avogadro, Hyper Chem 8.01, Asselrys MS Modeling 3.0.1 limited Semi-empirical (UHF) method, semi-empirical AM1 using SCF-MO, MNDO, PM3, RM1, and MINDO3 method with Intel Pro Pentium 1.40 GGs computer calculations were made. The results suggest that cationite synthesized in the presence of thiocarbamide, formalin , and citric acid has a high sorption capacity and can be seen to be effective primarily for Cu2+, Ni2+, Zn2+ ions.

Developing "smart" materials with improved both structural and functional characteristics is one of the promising areas of materials science. Measuring the electrical resistance of CNTs-modified (various mass contents) polymers and in particular, elastomers during performing several tests (compression, stretching, and torsion) at a constant current is relevant in electrical engineering, mechanical engineering, aviation, and space industry. Changes in the elastomer shape under different types of testing lead to the destruction of macromolecules and the structuring of the material as a whole. Therefore, it is important to study the effect of CNTsbased modifying fillers on the elastomer. When compressing, stretching or twisting the nano-modified elastomer, along with the mutual movement of its macromolecular fragments and aggregates, the modifier particles also move, which generally determines the transport of electrons in the resulting structure and affects the physical and mechanical parameters of the composite material. To conduct studies, elastomers containing different amounts of a CNTs-based modifying filler were prepared. To investigate and elucidate relevant dependencies, a measuring system (MS) was constructed, which makes it possible to determine electrical resistance values of the composite material with different CNTs contents in the polymer matrix composition exposed to various mechanical loads. Basing the research results, it was established that the electrical resistance of the elastomer composites modified with 1.0–2.5 wt.% CNTs decreases when compressing from 0 to 100 N, whereas when the compression force ranges from 100 to 350 N, the electrical resistance remains unchanged. When the elastomer composites modified with 2–2.5 wt.% CNTs were stretched by 30–40 %, the electrical resistance was found to increase from 5·103 to 1.9·107 Ω.

There is an urgent need for copper in Ukraine, which is used in various industries: electrical engineering,mechanical engineering, construction, food and chemical industries. Meanwhile, there is insufficient exploration ofcopper ores in Ukraine. At the same time, galvanic and PCB manufacturing are sources of environmental hazard.The object of the study is the process of using copper from sewage production boards and electroplating processes.The purpose of the work is environmental and economic justification for the removal of copper from wastewater forits further use. The aspects of mining (copper) in a mine and open method are described. The data on exploredreserves of copper ores in Ukraine and real needs for copper for the successful operation of industrial enterprisesare presented. The condition with the presence of sludge during the work of the etching lines of the printed circuitboards during normal operation at full capacity is considered, and it is established that for the productivity of theetching line 14 m2 / h the amount of sludges per month of work in one shift will be about 2400-2500 kg. This leadsto the accumulation of significant amounts of hazardous waste on the territories of enterprises, which causeenvironmental damage. In order to avoid the accumulation of sludge on the territory of the enterprises it is proposedto use the technology of regeneration of waste digestion solutions, in which the recovered metal is used as secondaryraw material for copper production, and the recovered solution is reused for etching of printed circuit boards. Thescheme of the line of etching of printed circuit boards with a lead for regeneration is offered. The introduction of anew wastewater treatment technology with only one plant can bring more than 2.8 million UAH of economic effect.The total sludge hazard index for the current state of sludge storage in the territory of enterprises (0.045) and afterthe implementation of wastewater recovery (100) has been determined.

Options for Voc-Reduction in the Mechanical and Electrical Engineering Industry

Purpose. Analyze the effectiveness of using wavelet analysis to assess the quality of metal surfaces. Develop information technology information technology to automate the process of assessing the quality of metal surfaces by wavelet analysis.
 Methodology. The main parameters for assessing the processing of metal surfaces are considered. A multilevel decomposition of the profile using wavelets was performed.
 Findings. The developed software allows to calculate parameters of an assesment of processing of metal surfaces that will help to minimize number of routine operations and difficult mathematical calculations, and also gives illustrative graphs of waviness and roughness.
 The advantage of this software product is that it is focused and developed specifically for the analysis of signals-profilograms of metal surfaces and is free.
 In further development, this software product can be used in the mechanical engineering industry (milling) and will help reduce the cost of software.
 Originality. The method of optimal decomposition of a complex signal is considered, using the criterion of minimizing the total entropy of wavelet coefficients of both its components in determining the optimal level of decomposition, reconstruction of the signal by approximating wavelet coefficients of the optimal signal. Convenient software has been developed.
 Practical value. The developed information technology of the software product for estimating the parameters of non-stationary signals can be used in the analysis and diagnosis of objects of different nature, in the mechanical engineering (milling) industry, in particular obtaining of waviness and roughness profiles.

Applications of design of experiments in engineering

The electrical engineering and electronics industry is the largest manufacturing industry in the Southampton ‘city-region’, providing over 25% of all manufacturing jobs. This analysis, which is based on detailed case studies of nineteen companies which employed over 11 000 workers in 1987, reveals that recent changes in the industry in the city-region can best be understood by reference to the changing role of local establishments within the wider corporate geography of their parent groups. Despite the high degree of external ownership, the city-region contains various subsidiaries with important control functions and with responsibility for product innovation and development. In response to a range of market pressures there has been a progressive upgrading of the technological sophistication of the products made within the city-region. In some cases this technological enhancement has been accompanied by the relocation of mature products to peripheral areas of the United Kingdom or to the Far East. These changes have had an important impact upon the skill composition of the work force. Increases in scientific, technical, and management functions have been accompanied by absolute or relative declines in production, ancillary, and clerical jobs. These occupational and production changes have, particularly in the larger firms, been associated with new working patterns.